These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
127 related articles for article (PubMed ID: 38690925)
1. PerSEveML: a web-based tool to identify persistent biomarker structure for rare events using an integrative machine learning approach. Dutta S; Mudaranthakam DP; Li Y; Sardiu ME Mol Omics; 2024 Jun; 20(5):348-358. PubMed ID: 38690925 [TBL] [Abstract][Full Text] [Related]
2. PerSEveML: A Web-Based Tool to Identify Persistent Biomarker Structure for Rare Events Using Integrative Machine Learning Approach. Dutta S; Mudaranthakam DP; Li Y; Sardiu ME bioRxiv; 2023 Oct; ():. PubMed ID: 38196661 [TBL] [Abstract][Full Text] [Related]
3. Identifying dynamical persistent biomarker structures for rare events using modern integrative machine learning approach. Dutta S; Box AC; Li Y; Sardiu ME Proteomics; 2023 Nov; 23(21-22):e2200290. PubMed ID: 36852539 [TBL] [Abstract][Full Text] [Related]
4. omniBiomarker: A Web-Based Application for Knowledge-Driven Biomarker Identification. Phan JH; Young AN; Wang MD IEEE Trans Biomed Eng; 2013 Dec; 60(12):3364-7. PubMed ID: 22893372 [TBL] [Abstract][Full Text] [Related]
5. BioM2: biologically informed multi-stage machine learning for phenotype prediction using omics data. Zhang S; Li P; Wang S; Zhu J; Huang Z; Cai F; Freidel S; Ling F; Schwarz E; Chen J Brief Bioinform; 2024 Jul; 25(5):. PubMed ID: 39126426 [TBL] [Abstract][Full Text] [Related]
6. FEPS: A Tool for Feature Extraction from Protein Sequence. Ismail H; White C; Al-Barakati H; Newman RH; Kc DB Methods Mol Biol; 2022; 2499():65-104. PubMed ID: 35696075 [TBL] [Abstract][Full Text] [Related]
7. FlowAtlas: an interactive tool for high-dimensional immunophenotyping analysis bridging FlowJo with computational tools in Julia. Coppard V; Szep G; Georgieva Z; Howlett SK; Jarvis LB; Rainbow DB; Suchanek O; Needham EJ; Mousa HS; Menon DK; Feyertag F; Mahbubani KT; Saeb-Parsy K; Jones JL Front Immunol; 2024; 15():1425488. PubMed ID: 39086484 [TBL] [Abstract][Full Text] [Related]
8. iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization. Chen Z; Zhao P; Li C; Li F; Xiang D; Chen YZ; Akutsu T; Daly RJ; Webb GI; Zhao Q; Kurgan L; Song J Nucleic Acids Res; 2021 Jun; 49(10):e60. PubMed ID: 33660783 [TBL] [Abstract][Full Text] [Related]
9. Fast and interpretable genomic data analysis using multiple approximate kernel learning. Bektaş AB; Ak Ç; Gönen M Bioinformatics; 2022 Jun; 38(Suppl 1):i77-i83. PubMed ID: 35758810 [TBL] [Abstract][Full Text] [Related]
10. Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage. Cui S; Luo Y; Tseng HH; Ten Haken RK; El Naqa I Med Phys; 2019 May; 46(5):2497-2511. PubMed ID: 30891794 [TBL] [Abstract][Full Text] [Related]
11. MiBiOmics: an interactive web application for multi-omics data exploration and integration. Zoppi J; Guillaume JF; Neunlist M; Chaffron S BMC Bioinformatics; 2021 Jan; 22(1):6. PubMed ID: 33407076 [TBL] [Abstract][Full Text] [Related]
12. CBioProfiler: A Web and Standalone Pipeline for Cancer Biomarker and Subtype Characterization. Liu X; Wang Z; Shi H; Li S; Wang X Genomics Proteomics Bioinformatics; 2024 Sep; 22(3):. PubMed ID: 38867700 [TBL] [Abstract][Full Text] [Related]
13. DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data. Poirion OB; Jing Z; Chaudhary K; Huang S; Garmire LX Genome Med; 2021 Jul; 13(1):112. PubMed ID: 34261540 [TBL] [Abstract][Full Text] [Related]
14. Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis. Chong J; Wishart DS; Xia J Curr Protoc Bioinformatics; 2019 Dec; 68(1):e86. PubMed ID: 31756036 [TBL] [Abstract][Full Text] [Related]
15. Integrative machine learning framework for the identification of cell-specific enhancers from the human genome. Basith S; Hasan MM; Lee G; Wei L; Manavalan B Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34226917 [TBL] [Abstract][Full Text] [Related]
16. ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data. Piccolo SR; Lee TJ; Suh E; Hill K Gigascience; 2020 Apr; 9(4):. PubMed ID: 32249316 [TBL] [Abstract][Full Text] [Related]
17. A cloud-based learning module for biomarker discovery. Hemme CL; Beaudry L; Yosufzai Z; Kim A; Pan D; Campbell R; Price M; Cho BP Brief Bioinform; 2024 Jul; 25(Supplement_1):. PubMed ID: 39041912 [TBL] [Abstract][Full Text] [Related]
18. ASPTF: A computational tool to predict abiotic stress-responsive transcription factors in plants by employing machine learning algorithms. Pradhan UK; Mahapatra A; Naha S; Gupta A; Parsad R; Gahlaut V; Rath SN; Meher PK Biochim Biophys Acta Gen Subj; 2024 Jun; 1868(6):130597. PubMed ID: 38490467 [TBL] [Abstract][Full Text] [Related]
19. CNApp, a tool for the quantification of copy number alterations and integrative analysis revealing clinical implications. Franch-Expósito S; Bassaganyas L; Vila-Casadesús M; Hernández-Illán E; Esteban-Fabró R; Díaz-Gay M; Lozano JJ; Castells A; Llovet JM; Castellví-Bel S; Camps J Elife; 2020 Jan; 9():. PubMed ID: 31939734 [TBL] [Abstract][Full Text] [Related]
20. parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants. Petrini A; Mesiti M; Schubach M; Frasca M; Danis D; Re M; Grossi G; Cappelletti L; Castrignanò T; Robinson PN; Valentini G Gigascience; 2020 May; 9(5):. PubMed ID: 32444882 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]